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Lokesh Patel, Shalini Goad,
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- M. Tech Scholar,, Assistant Professor, Oriental University, Indore,, Oriental University, Indore, Madhya Pradesh,, Madhya Pradesh, India, India
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Abstract
nPower systems use large interconnections to transmit and distribute electric power. For power transmission, the same voltage levels are used for minimum transmission losses. During power transmission faults may occur due to natural events such as lightning, strong wind, fire etc. Faults may occur between phase conductors to ground or between the phase conductors. Transmission line protection has been performed using the comparison of voltages and currents and activates the relays at fault. Different ways like phase comparison of voltages, ratio between voltages and currents, difference between currents is used to find the fault and protect the transmission line. Using methods like phase comparison of voltages, current/voltage ratios, and differential protection helps identify faults accurately and swiftly. These techniques leverage the principles of electrical engineering to differentiate between normal operating conditions and fault scenarios, enabling the system to respond appropriately.
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Keywords: Power system, Wavelet transform, SVM, ANN, CNN
n[if 424 equals=”Regular Issue”][This article belongs to Journal of Power Electronics and Power Systems(jopeps)]
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References
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- Turan Gonen, “Electric Power Transmission System Engineering, Analysis and Design”, Croc Press, Taylor and Francis Group
- Paul M. Anderson, “Analysis of Faulted Power Systems”, The Institute of Electrical and Electronics Engineers, Inc., 1995.
- L. Wadhwa, “Electrical Power Systems”, pp 306, New Age International, 2006
- K. Ray, B. K. Panigrahi, P. K. Rout, A. Mohanty, H. Dubey, “Detection of Faults in Power System Using Wavelet Transform and Independent Component Analysis”, First International Conference on Advancement of Computer Communication & Electrical Technology, October 2016, Murshidabad, India, DOI: 10.13140/RG.2.2.20394.82882
- Dalstein T, Kulicke B. Neural network approach to fault classification for high-speed protective relaying. IEEE Trans Power Deliv. 1995; 4:1002–1009. doi: 10.1109/61.400828.
- Jayabharta Reddy M, Mohanta DK. A wavelet fuzzy combined approach for classification and location of transmission line faults. Electric Power Energy Syst. 2007; 29: 669–678. doi: 10.1016/j.ijepes.2007.05.001.
- Fernandez ALO, Ghonaim NKI. A novel approach using FIRANN for fault detection and direction estimation for high-voltage transmission lines. IEEE Trans Power Del. 2002;17(4):894–900. doi: 10.1109/TPWRD.2002.803734.
- Aziz MS, Abdel MA, Hassan M, Zahab EA. High-impedance faults analysis in distribution networks using an adaptive neuro fuzzy inference system. Electric Power Compton Syst. 2012;40(11):1300–1318. doi: 10.1080/15325008.2012.689418.
- Majid Jamil, Sanjeev Kumar Sharma, Rajveer Singh Fault detection and classificationin electrical power transmission system using artificial neural network, Springerplus. 2015; 4: 334. Published online 2015 Jul 9. doi: 10.1186/s40064-015-1080-x
- Khetarpal P, Tripathi MM. A critical and comprehensive review on power quality disturbance detection and classification. Sustainable Computing: Informatics and Systems. 2020 Dec 1; 28:100417.
- Khokhar S, Zin AA, Mokhtar AS, Pesaran M. A comprehensive overview on signal processing and artificial intelligence techniques applications in classification of power quality disturbances. Renewable and Sustainable Energy Reviews. 2015 Nov 1; 51:1650-63.
- Guo T, Zhang T, Lim E, Lopez-Benitez M, Ma F, Yu L. A review of wavelet analysis and its applications: Challenges and opportunities. IEEe Access. 2022 Jun 1; 10:58869-903.
- Afridi YS, Ahmad K, Hassan L. Artificial intelligence based prognostic maintenance of renewable energy systems: A review of techniques, challenges, and future research directions. International Journal of Energy Research. 2022 Dec;46(15):21619-42.
- Saini SK, Gupta R. Artificial intelligence methods for analysis of electrocardiogram signals for cardiac abnormalities: state-of-the-art and future challenges. Artificial Intelligence Review. 2022 Feb;55(2):1519-65.
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Volume | 14 | |
[if 424 equals=”Regular Issue”]Issue[/if 424][if 424 equals=”Special Issue”]Special Issue[/if 424] [if 424 equals=”Conference”][/if 424] | 02 | |
Received | April 23, 2024 | |
Accepted | July 15, 2024 | |
Published | August 6, 2024 |
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